改进遗传算法在供热系统中的应用  

Application of improved genetic algorithm in heating system

作　　者：张京杰 姜丽芬[1] 花季伟[1] 张少强[1] 

机构地区：[1]天津师范大学计算机与信息工程学院,天津300387

出　　处：《天津师范大学学报（自然科学版）》2018年第1期64-69,共6页Journal of Tianjin Normal University：Natural Science Edition

基　　金：国家自然科学基金资助项目(61572358);天津市科技特派员基金资助项目(15JCTPJC60900)

摘　　要：针对传统供热系统中PID控制器超调量高、响应时间长的问题,提出一种改进的遗传算法.改进的遗传算法收敛速度更快,求解速度更快,稳定性更高.将改进的遗传算法应用到供热系统PID控制器上,提高了PID控制器的精度,其动态性能和鲁棒性均比较理想.In the view of the questions of the traditional heating system PID controller, the high overshoot and long response time, an improved genetic algorithm is applied to improve the control precision of PID controller. The improved genetic algo- rithm will solve the problem more quickly, and overcome the shortcomings of instability, low convergence rate and the low convergence speed of the traditional genetic algorithm. The improved genetic algorithm is applied to the PID controller of the heating system, which makes the control system have higher control precision, and the dynamic performance and robustness of the control system are relatively ideal.

关 键 词：遗传算法 供热系统 PID控制器 改进遗传算法 精英策略 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]